Power loss minimisation of off-grid solar DC nano-grids - part II : a quasi-consensus-based distributed control algorithm
Samende, Cephas and Bhagavathy, Sivapriya M. and McCulloch, Malcolm (2022) Power loss minimisation of off-grid solar DC nano-grids - part II : a quasi-consensus-based distributed control algorithm. IEEE Transactions on Smart Grid, 13 (1). pp. 38-46. ISSN 1949-3053 (https://doi.org/10.1109/TSG.2021.3111779)
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Abstract
This paper investigates the power loss minimization problem of solar DC nanogrids that are designed to provide energy access to households in off-grid areas. We consider nano-grids with distributed battery storage energy systems and that are enabled by multi-port DC-DC converters. As the nano-grids are not connected to the national grid and have batteries and converters distributed in each household, addressing the power loss problem while ensuring supply-demand balance is a challenge. To address the challenge, we propose a novel quasi-consensus based distributed control approach. The proposed approach consists of two algorithms namely, incremental loss consensus algorithm and voltage consensus algorithm. The incremental loss consensus algorithm is proposed to optimally schedule the battery charge/discharge operation while ensuring that supply-demand balance and the battery constraints are satisfied. The voltage consensus algorithm is proposed to determine optimal distribution voltage set points which act as optimal control signals. Both algorithms are implemented in a distributed manner, where minimal information exchange between households is required to obtain the optimal control actions. Simulation results of a solar DC nano-grid with five interconnected households verify the effectiveness of the proposed approach at addressing the nano-grid power loss problem.
ORCID iDs
Samende, Cephas, Bhagavathy, Sivapriya M. ORCID: https://orcid.org/0000-0003-3200-4308 and McCulloch, Malcolm;-
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Item type: Article ID code: 83528 Dates: DateEvent1 January 2022Published10 September 2021Published Online5 September 2021AcceptedNotes: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering > Production of electric energy or power Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 14 Dec 2022 15:54 Last modified: 17 Oct 2024 18:58 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/83528